Methods for Using Satellite and Geospatial Data for Environmental Exposure Science
Master Google Earth Engine in two days: Learn concepts, techniques, and data analysis for estimating environmental exposures in health research through seminars and case studies.
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Course Description
The Google Earth Engine Booth Camp is a two-day intensive training workshop that includes seminars and hands-on case studies to provide an overview of concepts, techniques, applications, and data analysis methods for using the Google Earth Engine to estimate environmental exposures for health research.
- Learn to utilize the multi-petabyte catalog and planetary-scale analysis capabilities for environmental estimation.
- Gain proficiency in accessing and navigating geospatial datasets relevant to environmental exposure science.
- Acquire skills in employing data analysis methods within Google Earth Engine for precise environmental exposure estimation.
- Apply techniques to estimate air pollution, green space, built environment, temperature, and climate exposures for health and environmental research.
Course Prerequisites
Basic familiarity with coding and GIS
Google Earth Engine account
Laptop with Zoom
What You Will Learn
The Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities to estimate environmental measures at fine spatial and temporal resolutions. To-date, this resource has yet to be fully applied to environmental exposure science and health research. This two-day intensive boot camp provides an overview of concepts, techniques, applications, and data analysis methods for applying the Google Earth Engine to estimate environmental exposures for health research. Lectures will introduce participants to cutting-edge geospatial exposure assessment methods and example case studies will use the Google Earth Engine to estimate air pollution, green space, built environment, temperature, climate, and natural system-related exposures (e.g. drought, flooding, forest change, etc.). This boot camp is led by experts in the field of environmental exposure science and epidemiology, data science, and geography.
By the end of the workshop, participants will be familiar with the following topics:
- Capabilities of the Google Earth Engine
- Datasets available for environmental exposure science
- Data analysis methods within the Google Earth Engine
- Applications for air pollution, green space, built environment, temperature, and climate exposure research
- Applications for planetary and human health research
- Emerging satellite data and exposure science opportunities
Instructors
Dr. Perry is an accomplished scholar with an MSc in Geography from the University of Victoria and a doctorate in Epidemiology from the University of British Columbia. As the leader of the Spatial Health Lab at OSU, he investigates the intricate links between place and human health. Dr. Perry's research delves into environmental exposure assessment and epidemiology, concentrating on areas such as air pollution, healthy built environments, and climate resilience. Recognizing the complexity of environmental health challenges, he advocates for interdisciplinary collaboration, viewing it as essential for effective problem-solving.
Andy Larkin is an assistant professor senior research in the Spatial Health Lab within College of Health. His research focuses on the intersections of environment epidemiology with new technologies and big data. His past research projects include developing smartphone for air pollution informatics, developing computational models to predict biological responses to complex chemical exposures, and analyzing user interfaces from an affect heuristic perspective for optimal risk communications. Currently he is developing global land use regression (LUR) models for NO2 and PM2.5 air pollution that will be applied to the PURE cohort study; developing spatial exposure assessment methods for unconventional oil and gas development that can be applied to future epidemiological analysis; and conducting novel exposure assessment methods for green space using a smart phone application, Google street view imagery and image processing techniques.